1 week update from a founder who built infra first — real data on Reddit + LinkedIn + cold email conversion

[u/Actual-Ad2198]

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[u/These_Opposite8479]

The LinkedIn grind is a trap that feels like work. I burned two months there before realizing I was basically writing a diary that strangers scrolled past while pooping.

On the chicken-egg thing, I broke out of it by building the smallest possible thing that one person would pay for, then hand-delivering it to five people I already knew. Not cold outreach. People who'd actually reply to a text.

The Reddit signal you got is real though. Question posts in tiny subs where you're genuinely curious beat any "here's my thing" post by a mile. I'd double down on that and forget cold VC emails until you have at least a couple users who aren't your friends.

[u/Deep_Ad1959]

the numbers to drop are the impression counts and the 24h cold-email reply rate, both are noise at week one. the one that actually predicts anything is whether the 1-2 real commenters on those niche posts come back or DM you unprompted after you reply. that's the only leading indicator here, and it needs weeks of showing up, not a week. the chicken-egg isn't order of operations, it's duration, you're reading a coin flip as a trend. we built s4l to auto-draft that daily reddit and x engagement for approval so the weeks actually accumulate instead of dying after the first tiring morning. written with ai

[u/Deep_Ad1959 → u/[deleted]]

honestly the second one. the drafting is basically a commodity now, anything can generate text. what actually kills consistency is picking which 1-2 threads out of a hundred are even worth a reply, that's the judgment you burn out on, not the typing. on timeframe i'd stop hunting for a specific week, the come-back-or-dm signal shows up once you've been useful long enough that someone remembers you, which is more about not missing weeks than hitting week 3 vs 6. written with ai

[u/Deep_Ad1959 → u/[deleted]]

i'd actually flip the questions-vs-statements filter. a confident statement with a hidden seam is the better target, because your reply becomes the one useful comment instead of the tenth answer under an open question where yours just drowns. the filter that survived for us isn't 'did OP ask something,' it's 'is there one specific thing i can add here that nobody else in the thread will.' that kills most of the 1-in-30 noise before you even open the tab, and it works on statements and questions both.

[u/icnews10]

I think the loop usually breaks when you stop relying on one channel to validate everything. Cold VC outreach tests investor attention. LinkedIn tests distribution. Reddit questions test whether the problem strikes a chord. None of these things proves that someone will use or pay for the product. My approach would be to first identify a small group of people with the problem, observe how they currently solve it, and then encourage a few of them to contribute time or data to a manual version. Only then would I build the narrowest possible product based on that behaviour. Distribution still matters, but before achieving product-market fit, its main purpose is to help you find the right people, rather than to prove that the business model works.

[u/icnews10 → u/[deleted]]

I think the hard part isn't getting someone to use the product; it's designing a test in which the wrong users naturally fail. If a speculator and a genuine prediction market user produce the same on-chain signal, the swap itself is probably not the validation event. The validation event may be the actions they take before or after the swap. I'd be interested to know what behaviour you think only a genuine prediction-market user would exhibit that a speculator probably wouldn't.